Triple
T32214522
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | La Dibona |
E822891
|
entity |
| Predicate | accessBaseHut |
P163041
|
FINISHED |
| Object |
Refuge du Soreiller
Refuge du Soreiller is a high-altitude mountain hut in the French Alps that serves as the main base for climbers tackling the Aiguille Dibona and surrounding granite peaks.
|
E2000138
|
NE FINISHED |
How this triple was built (3 steps)
Every LLM step that produced this triple, in pipeline order — named-entity classification, the disambiguation choices (the exact options shown, with the pick highlighted), and the generated description. The batch + timestamp of each is in the Provenance table below.
NER
Named-entity recognition
gpt-5-mini
Instruction
Given a phrase, classify it is english named entity (e.g., persons, organizations, works of art) in Latin script, or not (e.g., literals, dates, URLs, verbose phrases). For disambiguation, the statement where the phrase occurs as object is also given. Please return a JSON object with `phrase` (string, the phrase being analyzed) and `is_ne` (boolean, indicating whether the phrase is a Named Entity).
Input
Phrase: Refuge du Soreiller | Statement: [La Dibona, accessBaseHut, Refuge du Soreiller]
NEDg
Description generation
gpt-5.1
Instruction
Generate a one-sentence description of the target entity. You are given a context triple in the form (subject, predicate, object), where the object is the target entity. # Instructions Use the triple to infer relevant information about the entity. Describe the entity based on what is most defining, well-known. Avoid repeating the information from the triple, unless really essential. # Response Format Return only the sentence: "Description: [one-sentence description of the target entity]"
Input
Entity: Refuge du Soreiller Triple: [La Dibona, accessBaseHut, Refuge du Soreiller]
Generated description
Refuge du Soreiller is a high-altitude mountain hut in the French Alps that serves as the main base for climbers tackling the Aiguille Dibona and surrounding granite peaks.
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: accessBaseHut Context triple: [La Dibona, accessBaseHut, Refuge du Soreiller]
-
A.
hasMountainHut
Indicates that one entity possesses, contains, or is associated with a mountain hut located within its area or domain.
-
B.
accessArea
Indicates that an entity is permitted to enter, use, or interact with a specified physical or logical area.
-
C.
hasAssociatedHut
chosen
Indicates that one entity is linked or connected to a specific hut as its associated structure.
-
D.
hasDomeOrRoofAccess
Indicates that an entity has access to, or the ability to reach or use, a dome or roof area associated with another entity.
-
E.
accessVillage
Indicates that an entity is able to enter, reach, or make use of the facilities or area of a particular village.
- F. None of above.
Provenance (6 batches)
The batch behind each pipeline step, in order, with when it ran. Timestamps are batch-level — stages were processed in waves, so the object chain (NER → NED1 → NEDg → NED2) reads in order, but predicate / elicitation batches can sit in a different wave.
| Step | Stage | Batch ID | Status | When |
|---|---|---|---|---|
| creating | Elicitation | batch_69f3490a3bec819097bc58d4731b9d08 |
completed | April 30, 2026, 12:20 p.m. |
| NER | Named-entity recognition | batch_69f73ae120bc8190bff94d38d7a7a00d |
completed | May 3, 2026, 12:09 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_6a2f46c7f32c8190b7bb3e623d21c61b |
completed | June 15, 2026, 12:26 a.m. |
| NEDg | Description generation | batch_6a2f79b71a308190b06f4954beb6a535 |
completed | June 15, 2026, 4:04 a.m. |
| NED2 | Entity disambiguation (via description) | batch_6a2f7a7d17e48190a40f7f79299f9dbe |
completed | June 15, 2026, 4:07 a.m. |
| PD | Predicate disambiguation | batch_69f73a38d0848190aa5139144b8561c6 |
completed | May 3, 2026, 12:06 p.m. |
Created at: May 1, 2026, 12:37 a.m.